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AI supply chain term

Chiplet

A chiplet is a small, specialized silicon die that is combined with other dies in one package instead of building a single large monolithic chip.

What it means

A chiplet is a modular block of silicon that performs part of a chip's job, such as compute, memory interface, or I/O, and is packaged alongside other chiplets to form a complete processor. Rather than printing one enormous monolithic die, which is expensive and hits size limits, designers split the design into smaller dies and connect them on a shared base using advanced packaging such as CoWoS. This improves yield, because small dies are less likely to contain a fatal defect, and lets each block use the process node best suited to it. Chiplets sit in the packaging layer of the AI supply chain, and modern AI accelerators are essentially collections of chiplets and memory stacks bonded together. The technique is central to how the industry keeps scaling compute past the reticle limit.

Why it matters to investors

Chiplet designs increase demand for the advanced packaging and interconnect that stitch multiple dies together, concentrating value in the firms that supply those capabilities. TSMC provides the packaging platform, while BE Semiconductor, Disco, and Onto Innovation make the bonding, dicing, and inspection tools that every multi-die accelerator passes through.

See Chiplet in the AI value chainIts live model score, why it matters, and every company exposed to it.

Companies on this part of the chain

Named to show where the term sits in the AI supply chain — research, not advice, and never a recommendation to buy or sell.

Related terms

See Chiplet in the live AI chain.

THE ENTITY maps every constraint onto one live model — which part is tight now, who owns it, and who gets squeezed when it moves. Plain-English reads you can check.

THE ENTITY is an educational read on the AI supply chain — research, not investment advice. It explains how the chain works and who sits where, never price targets or buy/sell calls.